Files
neon/test_runner/regress/test_branch_behind.py
Heikki Linnakangas 3aca717f3d Reorganize python tests.
Merge batch_others and batch_pg_regress. The original idea was to
split all the python tests into multiple "batches" and run each batch
in parallel as a separate CI job. However, the batch_pg_regress batch
was pretty short compared to all the tests in batch_others. We could
split batch_others into multiple batches, but it actually seems better
to just treat them as one big pool of tests and use pytest's handle
the parallelism on its own. If we need to split them across multiple
nodes in the future, we could use pytest-shard or something else,
instead of managing the batches ourselves.

Merge test_neon_regress.py, test_pg_regress.py and test_isolation.py
into one file, test_pg_regress.py. Seems more clear to group all
pg_regress-based tests into one file, now that they would all be in
the same directory.
2022-08-30 18:25:38 +03:00

133 lines
5.0 KiB
Python

import psycopg2.extras
import pytest
from fixtures.log_helper import log
from fixtures.neon_fixtures import NeonEnvBuilder
from fixtures.utils import print_gc_result, query_scalar
#
# Create a couple of branches off the main branch, at a historical point in time.
#
def test_branch_behind(neon_env_builder: NeonEnvBuilder):
# Use safekeeper in this test to avoid a subtle race condition.
# Without safekeeper, walreceiver reconnection can stuck
# because of IO deadlock.
#
# See https://github.com/neondatabase/neon/issues/1068
neon_env_builder.num_safekeepers = 1
# Disable pitr, because here we want to test branch creation after GC
neon_env_builder.pageserver_config_override = "tenant_config={pitr_interval = '0 sec'}"
env = neon_env_builder.init_start()
# Branch at the point where only 100 rows were inserted
env.neon_cli.create_branch("test_branch_behind")
pgmain = env.postgres.create_start("test_branch_behind")
log.info("postgres is running on 'test_branch_behind' branch")
main_cur = pgmain.connect().cursor()
timeline = query_scalar(main_cur, "SHOW neon.timeline_id")
# Create table, and insert the first 100 rows
main_cur.execute("CREATE TABLE foo (t text)")
# keep some early lsn to test branch creation on out of date lsn
gced_lsn = query_scalar(main_cur, "SELECT pg_current_wal_insert_lsn()")
main_cur.execute(
"""
INSERT INTO foo
SELECT 'long string to consume some space' || g
FROM generate_series(1, 100) g
"""
)
lsn_a = query_scalar(main_cur, "SELECT pg_current_wal_insert_lsn()")
log.info(f"LSN after 100 rows: {lsn_a}")
# Insert some more rows. (This generates enough WAL to fill a few segments.)
main_cur.execute(
"""
INSERT INTO foo
SELECT 'long string to consume some space' || g
FROM generate_series(1, 200000) g
"""
)
lsn_b = query_scalar(main_cur, "SELECT pg_current_wal_insert_lsn()")
log.info(f"LSN after 200100 rows: {lsn_b}")
# Branch at the point where only 100 rows were inserted
env.neon_cli.create_branch(
"test_branch_behind_hundred", "test_branch_behind", ancestor_start_lsn=lsn_a
)
# Insert many more rows. This generates enough WAL to fill a few segments.
main_cur.execute(
"""
INSERT INTO foo
SELECT 'long string to consume some space' || g
FROM generate_series(1, 200000) g
"""
)
lsn_c = query_scalar(main_cur, "SELECT pg_current_wal_insert_lsn()")
log.info(f"LSN after 400100 rows: {lsn_c}")
# Branch at the point where only 200100 rows were inserted
env.neon_cli.create_branch(
"test_branch_behind_more", "test_branch_behind", ancestor_start_lsn=lsn_b
)
pg_hundred = env.postgres.create_start("test_branch_behind_hundred")
pg_more = env.postgres.create_start("test_branch_behind_more")
# On the 'hundred' branch, we should see only 100 rows
hundred_cur = pg_hundred.connect().cursor()
assert query_scalar(hundred_cur, "SELECT count(*) FROM foo") == 100
# On the 'more' branch, we should see 100200 rows
more_cur = pg_more.connect().cursor()
assert query_scalar(more_cur, "SELECT count(*) FROM foo") == 200100
# All the rows are visible on the main branch
assert query_scalar(main_cur, "SELECT count(*) FROM foo") == 400100
# Check bad lsn's for branching
# branch at segment boundary
env.neon_cli.create_branch(
"test_branch_segment_boundary", "test_branch_behind", ancestor_start_lsn="0/3000000"
)
pg = env.postgres.create_start("test_branch_segment_boundary")
assert pg.safe_psql("SELECT 1")[0][0] == 1
# branch at pre-initdb lsn
with pytest.raises(Exception, match="invalid branch start lsn"):
env.neon_cli.create_branch("test_branch_preinitdb", ancestor_start_lsn="0/42")
# branch at pre-ancestor lsn
with pytest.raises(Exception, match="less than timeline ancestor lsn"):
env.neon_cli.create_branch(
"test_branch_preinitdb", "test_branch_behind", ancestor_start_lsn="0/42"
)
# check that we cannot create branch based on garbage collected data
with env.pageserver.cursor(cursor_factory=psycopg2.extras.DictCursor) as pscur:
# call gc to advace latest_gc_cutoff_lsn
pscur.execute(f"do_gc {env.initial_tenant.hex} {timeline} 0")
row = pscur.fetchone()
print_gc_result(row)
with pytest.raises(Exception, match="invalid branch start lsn"):
# this gced_lsn is pretty random, so if gc is disabled this woudln't fail
env.neon_cli.create_branch(
"test_branch_create_fail", "test_branch_behind", ancestor_start_lsn=gced_lsn
)
# check that after gc everything is still there
assert query_scalar(hundred_cur, "SELECT count(*) FROM foo") == 100
assert query_scalar(more_cur, "SELECT count(*) FROM foo") == 200100
assert query_scalar(main_cur, "SELECT count(*) FROM foo") == 400100